where \(d_{\mathcal {P}}(x_i, x_j)\)  is the distance between the corresponding node representations in the embeddings space.
This formulation of the loss function captures the average distortion.
We regard as future work experimenting with different distances in the space, or varying the loss function, similar to the ones proposed on [1]}.
